Introduction
This project mostly expands the idea of a skikit-learn pipeline to accept bivariate pipelines, this makes it much easier to make a single pipeline with all aspects of feature engineering and supervised training, and this in turn makes it much easier to support the creation of walk-forward trained-models.
For more information on the aika project see the aika webpage
Installation
python -m pip install aika-ml
1 maintainer
Metadata
1 maintainer
Release files for aika-ml 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| aika-ml-1.0.0.tar.gz | 13.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aika_ml-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.0 kB
Release files / aika-ml-1.0.0.tar.gz
| Download URL | aika-ml-1.0.0.tar.gz |
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| Size | 13.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / aika_ml-1.0.0-py3-none-any.whl
| Download URL | aika_ml-1.0.0-py3-none-any.whl |
|---|---|
| Size | 14.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Security for aika-ml 1.0.0
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